EUNKYUNG JO
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그림

I am a final-year PhD candidate working with Daniel A. Epstein in Informatics at University of California, Irvine. I'm a recipient of the Google PhD Fellowship in Human-Computer Interaction (2023-2025). 

I’m on the job market! As an HCI, CSCW, and Health researcher, I’m open to tenure-track faculty positions and research-oriented industry roles.

My research examines how health monitoring technology can better account for infrastructural complexity of clinical and public health care.
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I completed a MS in Computer Graphics Technology (Thesis advisor: Austin Toombs) at Purdue University, a BA in Information Science & Culture, ​and a BA in Consumer and Child Studies at Seoul National University.

Outside school, I have worked as a research intern with Young-Ho Kim at NAVER AI Lab and a researcher at the National Center for Mental Health in South Korea with Hwajung Hong. 

Selected Publications

Understanding Public Agencies' Expectations and Realities of AI-Driven Chatbots for Public Health Monitoring

Eunkyung Jo, Young-Ho Kim, Sang-Houn Ok, Daniel A. Epstein
Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI '25) [PDF]

Exploring Patient-Generated Annotations to Digital Clinical Symptom Measures for Patient-Centered Communication

Eunkyung Jo, Rachael Zehrung, Katherine E. Genuario, Alexandra Papoutsaki, Daniel A. Epstein
​Proceedings of the ACM on Human-Computer Interaction 8 (CSCW2) [DOI] [PDF]

Understanding the Impact of Long-Term Memory on Self-Disclosure with Large Language
​Model-Driven Chatbots for Public Health Intervention

Eunkyung Jo, Yuin Jeong, SoHyun Park, Daniel A. Epstein, Young-Ho Kim
Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (CHI '24) [DOI] [PDF]

Exploring User Perspectives of and Ethical Experiences With Teletherapy Apps: Qualitative Analysis of User Reviews

Eunkyung Jo, Whitney-Jocelyn Kouaho, Stephen M. Schueller, Daniel A. Epstein
JMIR Mental Health, Vol 10, 2023 [DOI] [PDF]

Understanding the Benefits and Challenges of Deploying Conversational AI Leveraging Large Language Models for Public Health Intervention

Eunkyung Jo, Daniel A. Epstein, Hyunhoon Jung, Young-Ho Kim
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI '23) [DOI] [PDF]
Best Paper Award (Top 1%)

Designing Flexible Longitudinal Regimens: Supporting Clinician Planning for Discontinuation of Psychiatric Drugs 

Eunkyung Jo, Myeonghan Ryu, Georgia Kenderova, Samuel So, Bryan Shapiro, Alexandra Papoutsaki, Daniel A. Epstein
Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI ’22) [DOI] [PDF]

GeniAuti: Toward Data-Driven Interventions to Challenging Behaviors of Autistic Children through Caregivers' Tracking  

Eunkyung Jo, Seora Park, Hyeonseok Bang, Youngeun Hong, Yeni Kim, Jungwon Choi, Bung Nyun Kim, 
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Daniel A. Epstein, Hwajung Hong
Proceedings of the ACM on Human-Computer Interaction 6 (CSCW1), April 2022 [DOI] [PDF]

MAMAS: Supporting Parent-Child Mealtime Interactions Using Automated Tracking and Speech Recognition

Eunkyung Jo, Hyeonseok Bang, Myeonghan Ryu, Eun Jee Sung, Sungmook Leem, Hwajung Hong
Proceedings of the ACM on Human-Computer Interaction 4 (CSCW1), May 2020 
[DOI] [PDF]

Understanding Parenting Stress through Co-designed Self-Trackers 

Eunkyung Jo, Austin L. Toombs, Colin M. Gray, Hwajung Hong
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI ’20) [DOI] [PDF]

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